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HazmanNaim/README.md

Hi ๐Ÿ‘‹, I'm Hazman Naim

A young data scientist with a strong physics background

hazmannaim

hazmannaim

  • ๐Ÿ”ญ Iโ€™m currently working on data engineering, analytics and machine learning

  • ๐ŸŒฑ Iโ€™m currently learning Deep Learning and AI Engineering

  • ๐Ÿ‘จโ€๐Ÿ’ป All of my projects are available at hazmannaim.github.io

  • ๐Ÿ’ฌ Ask me about Data Science, Machine Learning, AI and Astrophysics

  • ๐Ÿ“ซ How to reach me [email protected]

Connect with me:

hazmannaim astronomer.halaman

Languages and Tools:

bash c flask git html5 linux mysql opencv pandas postman python pytorch scikit_learn seaborn tensorflow

hazmannaim

ย hazmannaim

hazmannaim

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  1. HazmanNaim.github.io HazmanNaim.github.io Public

    This is a repository to host my personal website.

    JavaScript

  2. IBM-Data-Science-Professional-Certificate IBM-Data-Science-Professional-Certificate Public

    This is a repository for IBM Data Science Professional Certificate purpose.

    Jupyter Notebook 1 1

  3. IBM-AI-Engineering-Professional-Certificate IBM-AI-Engineering-Professional-Certificate Public

    This is a repository for IBM AI Engineering Professional Certificate purpose.

    Jupyter Notebook 28 17

  4. This is a custom function to train a... This is a custom function to train and evaluate models. This function will print the results at each fold.
    1
    def train_evaluate(model, model_name, X, Y):    
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        # K-fold cross-validation instead of stratified K-fold for regression
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        kf = KFold(n_splits=10, shuffle=True, random_state=seed)
    4
        
    5
        print(f"Training {model_name}...\n")